Unlike conventional 2D images, the users are exposed in omnidirectional images to a larger degree of freedom. Visual attention modeling in \(360^\circ \)  content is conducted by predicting the center of most probable attended viewports, which reflect the trajectory of the head movements. Moreover, we assume as in [1]} that human attention toward omnidirectional content is governed by some statistical bias, as they tend more to equatorial and frontal regions than others, referred as equator bias.
